What you would do

Write questions on mechanisms, stoichiometry and experiments, such as predicting the major product of a reaction, with reference answers.
Find the flawed conclusion in model answers about lab results, such as a missing control or a confounded comparison.
Write data-interpretation tasks from synthetic results, such as a gel, a dose-response curve or a sequencing summary.
Check lab calculations and protocols in model answers, such as a dilution series or a primer design.
Write rubrics that check units, conditions and the reasoning behind each step.

What we look for

You study at or graduated from a college or university in chemistry, biology or a related field.
Lab, computational or research work you did yourself and can describe in detail, including what could have gone wrong.
You can read a methods section and say what the experiment can and cannot show.
Care with units, concentrations and controls.

A degree in chemistry, biology or a related field; a master’s or PhD is even better.
Research or industry work, especially at an AI lab or AI company.
Computational skill, such as bioinformatics pipelines, cheminformatics or data analysis in Python or R.
Publications, patents or methods others use.

Task size: Tasks take about 30 minutes to 5 hours. Each one shows its estimated time and price before you start, and you are paid that price even if it takes you more or less time.
Pay: Per task accepted in review: its estimated time times the project’s rate. A task estimated at 2 hours at $110 an hour pays $220. Accepted tasks are paid within 30 days.
Hours: Projects last 1 month to a year. Each sets a weekly minimum, usually about 20 hours of estimated work, and you choose when you work.
Tools and review: Your own computer, plus Python, R or common chemistry and sequence tools when a task calls for them. Every task is reviewed against the project’s written quality standard before it is accepted.